Prediction of blood glucose levels in diabetic patients using a hybrid al technique
Computers and Biomedical Research
Expert Systems with Applications: An International Journal
Design of a hybrid system for the diabetes and heart diseases
Expert Systems with Applications: An International Journal
Computers & Mathematics with Applications
Small scale high dimensional model representation
MAASE'08 Proceedings of the 1st WSEAS International Conference on Multivariate Analysis and its Application in Science and Engineering
A new approach for data partitioning through high dimensional model representation
International Journal of Computer Mathematics
A comparative study on diabetes disease diagnosis using neural networks
Expert Systems with Applications: An International Journal
GUI-HDMR - A software tool for global sensitivity analysis of complex models
Environmental Modelling & Software
Paper: Combining rule-based reasoning and mathematical modelling in diabetes care
Artificial Intelligence in Medicine
Hi-index | 12.05 |
Diabetes mellitus type 2 (T2DM), is also named as non-insulin dependent diabetes mellitus (NIDDM) or adult-onset diabetes, is a metabolic disease characterized by high blood glucose. Deficient insulin production or insulin resistance of the body are the causes of T2DM. Drug treatment has a very important role as well as exercise and diet. To keep the body sugar level stable within the accepted range values, drug dosage planning is a part of combinational treatment. In this study, Indexing HDMR method which is a multivariate data partitioning method is used to produce a polynomial based rule structure to manage the drug dosage planning process. For this purpose, 142 diabetic assays, 96 of which as training data and 46 of which as testing data, were used in this study. The Indexing HDMR method worked well in modeling drug dosages and it is obvious that the method is reliable for the purpose.